IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Daniel Sambuco Elite Prospects ↗

Position: Forward DOB: 2003-06-10 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2019-20 Frederick Gunn NE-Prep 34 5 7 12 0.353 0.0996 0.0996 — —
2020-21 Jersey Hitmen NCDC 27 7 14 21 0.778 0.4337 0.4337 2.4814 2.4814
2021-22 — USHL 49 7 6 13 0.265 0.1631 0.1643 0.7816 0.7874
2022-23 Lincoln Stars USHL 56 11 8 19 0.339 0.2086 0.1993 0.9996 0.9551
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Vermont D1 HockeyEast JR 30 5 1 6 0.200
2024-25 Vermont D1 HockeyEast — 27 2 2 4 0.148
2023-24 Vermont D1 HockeyEast — 13 1 0 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.08
2023-24 · Vermont
-51.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
10%
NCAA D2/D3
40%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#21770
Forward overall
#1148
Forward born in 2003

D1 Comparables

Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Matt Galati
SUNY Oswego · 2011-12
1.241 Elite
actual D2/3 PPG
Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
JC Humphreys
SUNY Cortland · 2023-24
0.481 Average
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.